Orquestracao Kanban Humano Agente logo

Orquestracao Kanban Humano Agente

Organization
Hermes-brasil
orquestracao-kanban-humano-agente

Orquestrar projetos com Kanban humano + agentes de IA.

Overview

PublisherHermes-brasil
Repositoryhermes-brasil
Skill nameorquestracao-kanban-humano-agente
Stars
155
Forks
8
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Hermes-brasil on GitHub. Read the source before you install it.

Installation

Install the Orquestracao Kanban Humano Agente AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Hermes-brasil/hermes-brasil/tree/main/skills/orquestracao-kanban-humano-agente
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Hermes-brasil/hermes-brasil.git /tmp/hermes-brasil
mkdir -p .claude/skills
cp -r /tmp/hermes-brasil/skills/orquestracao-kanban-humano-agente .claude/skills/orquestracao-kanban-humano-agente
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Orquestracao Kanban Humano Agente in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Orquestracao Kanban Humano Agente on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Orquestracao Kanban Humano Agente is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Orquestração Kanban — Humanos + Agentes de IA

Padrão validado pelo co-fundador da Nous Research (Hermes Agent) no podcast com Peter Yang (02/08/2026). Usado para orquestrar trabalho onde humanos e agentes de IA colaboram no MESMO board.

Princípio central

UM só Kanban para humanos E agentes de IA. Não são dois sistemas separados — são as mesmas colunas, mesmas tarefas, mas as posições são intercambiáveis (humano ou IA em qualquer ponto).

"Posso ter um gerente de projeto humano no board manualmente
enquanto agentes preenchem as peças que ele pediu."
— Karan Malhotra (Nous Research)

Colunas padrão do board

📊 6 COLUNAS:
├── Triage       → ideias cruas entram
├── To-do        → tarefa aguardando (dependência)
├── Ready        → tarefa designada, pronta pra pegar
├── In Progress  → executor (humano ou IA) trabalhando
├── Blocked      → TRAVOU, precisa de humano/intervenção
└── Done         → concluído

Mecânica de orquestração

⚙️ ORQUESTRADOR/DISPATCHER:
├── Quebra meta grande em tarefas menores
├── Atribui a executores (humanos ou agentes especialistas)
├── Checa o board periodicamente (ex: a cada 60s)
├── Roda tarefas na ordem certa
└── Detecta "Blocked" e escalona pra humano

💾 DURABILIDADE (crítico):
├── Board persistente (ex: SQLite local)
├── Cada handoff/tarefa fica SALVO
├── Cada executor é um processo com identidade própria
└── Trabalho NÃO se perde entre sessões

Orquestração em qualquer direção

🔄 QUEM INSTRUI QUEM (intercambiável):
├── Humano (gerente) → instrui agentes
│   Ex: "crie as 5 tasks, agente executa"
├── Agente → instrui humanos
│   Ex: agente orienta equipe de call center
└── A mesma tarefa pode ser feita por humano OU IA

Exemplos de uso

✅ EXEMPLOS PRÁTICOS:
├── Criação de conteúdo longo (ebook, curso):
│   ├── Agente escreve capítulo por capítulo
│   ├── Humano (gerente) dirige o ritmo e revisa
│   └── Mesmo board, papéis trocáveis
├── Prospecção/operações multi-etapa
├── Projetos que precisam de sequência + revisão humana
└── Qualquer fluxo com ponto de decisão humana

💡 COMO APLICAR:
├── Usar coluna "Blocked" explicitamente
│   (agente trava → marca e pede decisão humana)
├── Quebrar metas grandes em tasks no board
└── Manter progresso durável entre sessões

Quando usar esta skill

  • Projetos que precisam de sequência de tarefas + revisão humana
  • Orquestrar agentes + humanos no mesmo fluxo
  • Trabalho longo que não deve se perder entre sessões
  • Automação multi-etapa com ponto de decisão humana

Boas práticas

  • Definir colunas claras (Triage → Done)
  • Marcar explicitamente quando tarefa fica "Blocked"
  • Salvar progresso duravelmente (não confiar só em memória de sessão)
  • Deixar claro em cada tarefa se é humano ou IA que executa
  • Usar o board como fonte de verdade do progresso

Frequently asked questions

What does the Orquestracao Kanban Humano Agente AI skill do?

Orquestrar projetos com Kanban humano + agentes de IA.

Why use Orquestracao Kanban Humano Agente on TypingMind?

Because you install it once and use it with any model. Orquestracao Kanban Humano Agente is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Orquestracao Kanban Humano Agente in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Hermes-brasil/hermes-brasil/tree/main/skills/orquestracao-kanban-humano-agente. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Orquestracao Kanban Humano Agente?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Orquestracao Kanban Humano Agente?

As many as you like. As long as a model supports skills, you can use Orquestracao Kanban Humano Agente with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Orquestracao Kanban Humano Agente AI skill free?

Yes. It is published on GitHub by Hermes-brasil under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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